The combination of scanning transmission electron microscopy (STEM) with analytical instruments has become one of the most indispensable analytical tools in materials science. A set of microscopic image/spectral intensities collected from many sampling points in a region of interest, in which multiple physical/chemical components may be spatially and spectrally entangled, could be expected to be a rich source of information about a material. To unfold such an entangled image comprising information and spectral features into its individual pure components would necessitate the use of statistical treatment based on informatics and statistics. These computer-aided schemes or techniques are referred to as multivariate curve resolution, blind source separation or hyperspectral image analysis, depending on their application fields, and are classified as a subset of machine learning. In this review, we introduce non-negative matrix factorization, one of these unfolding techniques, to solve a wide variety of problems associated with the analysis of materials, particularly those related to STEM, electron energy-loss spectroscopy and energy-dispersive X-ray spectroscopy. This review, which commences with the description of the basic concept, the advantages and drawbacks of the technique, presents several additional strategies to overcome existing problems and their extensions to more general tensor decomposition schemes for further flexible applications are described.
{"title":"Application of machine learning techniques to electron microscopic/spectroscopic image data analysis","authors":"Shunsuke Muto;Motoki Shiga","doi":"10.1093/jmicro/dfz036","DOIUrl":"10.1093/jmicro/dfz036","url":null,"abstract":"The combination of scanning transmission electron microscopy (STEM) with analytical instruments has become one of the most indispensable analytical tools in materials science. A set of microscopic image/spectral intensities collected from many sampling points in a region of interest, in which multiple physical/chemical components may be spatially and spectrally entangled, could be expected to be a rich source of information about a material. To unfold such an entangled image comprising information and spectral features into its individual pure components would necessitate the use of statistical treatment based on informatics and statistics. These computer-aided schemes or techniques are referred to as multivariate curve resolution, blind source separation or hyperspectral image analysis, depending on their application fields, and are classified as a subset of machine learning. In this review, we introduce non-negative matrix factorization, one of these unfolding techniques, to solve a wide variety of problems associated with the analysis of materials, particularly those related to STEM, electron energy-loss spectroscopy and energy-dispersive X-ray spectroscopy. This review, which commences with the description of the basic concept, the advantages and drawbacks of the technique, presents several additional strategies to overcome existing problems and their extensions to more general tensor decomposition schemes for further flexible applications are described.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfz036","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43089560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this review, we focus on the applications of machine learning methods for analyzing image data acquired in imaging flow cytometry technologies. We propose that the analysis approaches can be categorized into two groups based on the type of data, raw imaging signals or features explicitly extracted from images, being analyzed by a trained model. We hope that this categorization is helpful for understanding uniqueness, differences and opportunities when the machine learning-based analysis is implemented in recently developed ‘imaging’ cell sorters.
{"title":"Implementing machine learning methods for imaging flow cytometry","authors":"Sadao Ota;Issei Sato;Ryoichi Horisaki","doi":"10.1093/jmicro/dfaa005","DOIUrl":"10.1093/jmicro/dfaa005","url":null,"abstract":"In this review, we focus on the applications of machine learning methods for analyzing image data acquired in imaging flow cytometry technologies. We propose that the analysis approaches can be categorized into two groups based on the type of data, raw imaging signals or features explicitly extracted from images, being analyzed by a trained model. We hope that this categorization is helpful for understanding uniqueness, differences and opportunities when the machine learning-based analysis is implemented in recently developed ‘imaging’ cell sorters.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfaa005","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37692265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Transmission electron microscopy (TEM) and scanning transmission electron microscopy (STEM) enable the visualization of three-dimensional (3D) microstructures ranging from atomic to micrometer scales using 3D reconstruction techniques based on computed tomography algorithms. This 3D microscopy method is called electron tomography (ET) and has been utilized in the fields of materials science and engineering for more than two decades. Although atomic resolution is one of the current topics in ET research, the development and deployment of intermediate-resolution (non-atomic-resolution) ET imaging methods have garnered considerable attention from researchers. This research trend is probably not irrelevant due to the fact that the spatial resolution and functionality of 3D imaging methods of scanning electron microscopy (SEM) and X-ray microscopy have come to overlap with those of ET. In other words, there may be multiple ways to carry out 3D visualization using different microscopy methods for nanometer-scale objects in materials. From the above standpoint, this review paper aims to (i) describe the current status and issues of intermediate-resolution ET with regard to enhancing the effectiveness of TEM/STEM imaging and (ii) discuss promising applications of state-of-the-art intermediate-resolution ET for materials research with a particular focus on diffraction contrast ET for crystalline microstructures (superlattice domains and dislocations) including a demonstration of in situ dislocation tomography.
{"title":"Electron tomography imaging methods with diffraction contrast for materials research","authors":"Satoshi Hata;Hiromitsu Furukawa;Takashi Gondo;Daisuke Hirakami;Noritaka Horii;Ken-Ichi Ikeda;Katsumi Kawamoto;Kosuke Kimura;Syo Matsumura;Masatoshi Mitsuhara;Hiroya Miyazaki;Shinsuke Miyazaki;Mitsu Mitsuhiro Murayama;Hideharu Nakashima;Hikaru Saito;Masashi Sakamoto;Shigeto Yamasaki","doi":"10.1093/jmicro/dfaa002","DOIUrl":"10.1093/jmicro/dfaa002","url":null,"abstract":"Transmission electron microscopy (TEM) and scanning transmission electron microscopy (STEM) enable the visualization of three-dimensional (3D) microstructures ranging from atomic to micrometer scales using 3D reconstruction techniques based on computed tomography algorithms. This 3D microscopy method is called electron tomography (ET) and has been utilized in the fields of materials science and engineering for more than two decades. Although atomic resolution is one of the current topics in ET research, the development and deployment of intermediate-resolution (non-atomic-resolution) ET imaging methods have garnered considerable attention from researchers. This research trend is probably not irrelevant due to the fact that the spatial resolution and functionality of 3D imaging methods of scanning electron microscopy (SEM) and X-ray microscopy have come to overlap with those of ET. In other words, there may be multiple ways to carry out 3D visualization using different microscopy methods for nanometer-scale objects in materials. From the above standpoint, this review paper aims to (i) describe the current status and issues of intermediate-resolution ET with regard to enhancing the effectiveness of TEM/STEM imaging and (ii) discuss promising applications of state-of-the-art intermediate-resolution ET for materials research with a particular focus on diffraction contrast ET for crystalline microstructures (superlattice domains and dislocations) including a demonstration of in situ dislocation tomography.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfaa002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37692266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Image contrast between carbon nanotubes (CNTs) and polytetrafluoroethylene (PTFE) in a CNT/PTFE composite film, which is difficult to obtain by conventional backscattered electron (BSE) imaging, was optimized to better elucidate the distribution of CNT in the film. Ultra-low landing energy condition (0.3 keV in this study) was used to prevent specimen damage due to electron beam irradiation. Signal acceptance maps, which represent the distributions of energy and take-off angle, were calculated to evaluate the features of the signal detection system used in this study. SEM images of this composite film were taken under several sets of conditions and analyzed using these acceptance maps. CNT and PTFE in the composite film can be clearly distinguished with material and topographic contrasts using the BSE signal under optimized energy and take-off angle ranges, even at ultra-low landing energy conditions.
{"title":"Enhancement of image contrast for carbon nanotube and polymer composite film in scanning electron microscope","authors":"Yoichiro Hashimoto;Hiroyuki Ito;Masahiro Sasajima","doi":"10.1093/jmicro/dfaa006","DOIUrl":"10.1093/jmicro/dfaa006","url":null,"abstract":"Image contrast between carbon nanotubes (CNTs) and polytetrafluoroethylene (PTFE) in a CNT/PTFE composite film, which is difficult to obtain by conventional backscattered electron (BSE) imaging, was optimized to better elucidate the distribution of CNT in the film. Ultra-low landing energy condition (0.3 keV in this study) was used to prevent specimen damage due to electron beam irradiation. Signal acceptance maps, which represent the distributions of energy and take-off angle, were calculated to evaluate the features of the signal detection system used in this study. SEM images of this composite film were taken under several sets of conditions and analyzed using these acceptance maps. CNT and PTFE in the composite film can be clearly distinguished with material and topographic contrasts using the BSE signal under optimized energy and take-off angle ranges, even at ultra-low landing energy conditions.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfaa006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37692268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"For microscopy special issue on ‘AI and Imaging’","authors":"Yasushi Okada;Yasukazu Murakami","doi":"10.1093/jmicro/dfaa009","DOIUrl":"10.1093/jmicro/dfaa009","url":null,"abstract":"","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfaa009","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37724566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The application of structured illumination approaches for super-resolution light microscopy in plant cells is reviewed. Challenges and recent inroads using both wide-field and point-based techniques are discussed with specific application to live-cell imaging. The advent of super-resolution techniques in biological microscopy has opened new frontiers for exploring the molecular distribution of proteins and small molecules in cells. Improvements in optical design and innovations in the approaches for the collection of fluorescence emission have produced substantial gains in signal from chemical labels and fluorescent proteins. Structuring the illumination to elicit fluorescence from specific or even random patterns allows the extraction of higher order spatial frequencies from specimens labeled with conventional probes. Application of this approach to plant systems for super-resolution imaging has been relatively slow owing in large part to aberrations incurred when imaging through the plant cell wall. In this brief review, we address the use of two prominent methods for generating super-resolution images in living plant specimens and discuss future directions for gaining better access to these techniques.
{"title":"Structured Illumination Approaches for Super-Resolution in Plant Cells","authors":"Sidney L Shaw;David Thoms;James Powers","doi":"10.1093/jmicro/dfy043","DOIUrl":"10.1093/jmicro/dfy043","url":null,"abstract":"The application of structured illumination approaches for super-resolution light microscopy in plant cells is reviewed. Challenges and recent inroads using both wide-field and point-based techniques are discussed with specific application to live-cell imaging. The advent of super-resolution techniques in biological microscopy has opened new frontiers for exploring the molecular distribution of proteins and small molecules in cells. Improvements in optical design and innovations in the approaches for the collection of fluorescence emission have produced substantial gains in signal from chemical labels and fluorescent proteins. Structuring the illumination to elicit fluorescence from specific or even random patterns allows the extraction of higher order spatial frequencies from specimens labeled with conventional probes. Application of this approach to plant systems for super-resolution imaging has been relatively slow owing in large part to aberrations incurred when imaging through the plant cell wall. In this brief review, we address the use of two prominent methods for generating super-resolution images in living plant specimens and discuss future directions for gaining better access to these techniques.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfy043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36554902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Basic as well as applied phycological researches have developed alongside light and electron microscopy. This article reviews recent studies of bioimaging in the context of algal biorefining, and explains how 3D-TEM imaging are becoming useful tools for analyzing and monitoring the dynamics of algal cells. Phycology has developed alongside light and electron microscopy techniques. Since the 1950s, progress in the field has accelerated dramatically with the advent of electron microscopy. Transmission electron microscopes can only acquire imaging data on a 2D plane. Currently, many of the life sciences are seeking to obtain 3D images with electron microscopy for the accurate interpretation of subcellular dynamics. Three-dimensional reconstruction using serial sections is a method that can cover relatively large cells or tissues without requiring special equipment. Another challenge is monitoring secondary metabolites (such as lipids or carotenoids) in intact cells. This became feasible with hyperspectral cameras, which enable the acquisition of wide-range spectral information in living cells. Here, we review bioimaging studies on the intracellular dynamics of substances such as lipids, carotenoids and phosphorus using conventional to state-of-the-art microscopy techniques in the field of algal biorefining.
{"title":"Three-dimensional ultrastructure and hyperspectral imaging of metabolite accumulation and dynamics in Haematococcus and Chlorella","authors":"Shuhei Ota;Shigeyuki Kawano","doi":"10.1093/jmicro/dfy142","DOIUrl":"10.1093/jmicro/dfy142","url":null,"abstract":"Basic as well as applied phycological researches have developed alongside light and electron microscopy. This article reviews recent studies of bioimaging in the context of algal biorefining, and explains how 3D-TEM imaging are becoming useful tools for analyzing and monitoring the dynamics of algal cells. Phycology has developed alongside light and electron microscopy techniques. Since the 1950s, progress in the field has accelerated dramatically with the advent of electron microscopy. Transmission electron microscopes can only acquire imaging data on a 2D plane. Currently, many of the life sciences are seeking to obtain 3D images with electron microscopy for the accurate interpretation of subcellular dynamics. Three-dimensional reconstruction using serial sections is a method that can cover relatively large cells or tissues without requiring special equipment. Another challenge is monitoring secondary metabolites (such as lipids or carotenoids) in intact cells. This became feasible with hyperspectral cameras, which enable the acquisition of wide-range spectral information in living cells. Here, we review bioimaging studies on the intracellular dynamics of substances such as lipids, carotenoids and phosphorus using conventional to state-of-the-art microscopy techniques in the field of algal biorefining.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfy142","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36848759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We developed a novel specimen preparation method for X-ray micro-CT observation of wet biological samples using ionic liquids. Treatment with high concentrations of ionic liquids after osmium tetroxide fixation helped not only to prevent shrinkage but also to maintain the cellular architecture of imbibed Arabidopsis seeds. X-ray micro-CT is one of the most useful techniques to examine 3D cellular architecture inside dry seeds. However, the examination of imbibed seeds is difficult because immersion in water causes a decline in the image quality. Here, we examined the use of ionic liquids for specimen preparation of chemically fixed imbibed seeds of Arabidopsis. We found that treatment with high concentrations of ionic liquids after osmium tetroxide fixation helped not only to prevent the structural damage caused by seed shrinkage, but also to preserve the image quality. Under these conditions, the cellular architecture of seeds was also well maintained.
{"title":"Use of ionic liquid for X-ray micro-CT specimen preparation of imbibed seeds","authors":"Daisuke Yamauchi;Aki Fukuda;Tomonori Nakai;Ichirou Karahara;Miyuki Takeuchi;Daisuke Tamaoki;Tetsuya Tsuda;Katsuhiko Tsunashima;Susumu Kuwabata;Masato Hoshino;Kentaro Uesugi;Akihisa Takeuchi;Yoshio Suzuki;Yoshinobu Mineyuki","doi":"10.1093/jmicro/dfy130","DOIUrl":"10.1093/jmicro/dfy130","url":null,"abstract":"We developed a novel specimen preparation method for X-ray micro-CT observation of wet biological samples using ionic liquids. Treatment with high concentrations of ionic liquids after osmium tetroxide fixation helped not only to prevent shrinkage but also to maintain the cellular architecture of imbibed Arabidopsis seeds. X-ray micro-CT is one of the most useful techniques to examine 3D cellular architecture inside dry seeds. However, the examination of imbibed seeds is difficult because immersion in water causes a decline in the image quality. Here, we examined the use of ionic liquids for specimen preparation of chemically fixed imbibed seeds of Arabidopsis. We found that treatment with high concentrations of ionic liquids after osmium tetroxide fixation helped not only to prevent the structural damage caused by seed shrinkage, but also to preserve the image quality. Under these conditions, the cellular architecture of seeds was also well maintained.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfy130","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36834522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This review discusses recent advances in three-dimensional electron microscopy with an emphasis on the contributions of electron tomography to the analysis of plant organelles and cellular processes. Electron tomography (ET) approaches are based on the imaging of a biological specimen at different tilt angles by transmission electron microscopy (TEM). ET can be applied to both plastic-embedded and frozen samples. Technological advancements in TEM, direct electron detection, automated image collection, and imaging processing algorithms allow for 2–7-nm scale axial resolution in tomographic reconstructions of cells and organelles. In this review, we discussed the application of ET in plant cell biology and new opportunities for imaging plant cells by cryo-ET and other 3D electron microscopy approaches.
{"title":"Electron tomography in plant cell biology","authors":"Marisa S Otegui;Jannice G Pennington","doi":"10.1093/jmicro/dfy133","DOIUrl":"10.1093/jmicro/dfy133","url":null,"abstract":"This review discusses recent advances in three-dimensional electron microscopy with an emphasis on the contributions of electron tomography to the analysis of plant organelles and cellular processes. Electron tomography (ET) approaches are based on the imaging of a biological specimen at different tilt angles by transmission electron microscopy (TEM). ET can be applied to both plastic-embedded and frozen samples. Technological advancements in TEM, direct electron detection, automated image collection, and imaging processing algorithms allow for 2–7-nm scale axial resolution in tomographic reconstructions of cells and organelles. In this review, we discussed the application of ET in plant cell biology and new opportunities for imaging plant cells by cryo-ET and other 3D electron microscopy approaches.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfy133","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36685750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Observing cellular and molecular processes for an extended time at various scales are crucial for understanding biological processes during organogenesis. This review focuses on the contribution of multi-scale imaging approaches to understanding plant lateral root formation processes from cells to organs. Lateral roots comprise the majority of the branching root system and are important for acquiring nutrients and water from soil in addition to providing anchorage. Lateral roots develop post-embryonically from existing root parts and originate from a subset of specified pericycle cells (lateral root founder cells) located deep inside roots. Small numbers of these specified pericycle cells undergo several rounds of cell division to create a dome-shaped primordium, which eventually organizes a meristem, an essential region for plant growth with active cell division, and emerges from its parental root as a lateral root. Observing cellular and molecular processes for an extended time at various scales are crucial for understanding biological processes during organogenesis. Lateral root formation is an example of the successful application of live-cell imaging approaches to understand various aspects of developmental events in plants, including cell fate determination, cell proliferation, cell-to-cell interaction and cell wall modification. Here I review the recent progress in understanding the molecular mechanisms of lateral root formation and the contribution of live-cell imaging approaches.
{"title":"Long-term live-cell imaging approaches to study lateral root formation in Arabidopsis thaliana","authors":"Tatsuaki Goh","doi":"10.1093/jmicro/dfy135","DOIUrl":"10.1093/jmicro/dfy135","url":null,"abstract":"Observing cellular and molecular processes for an extended time at various scales are crucial for understanding biological processes during organogenesis. This review focuses on the contribution of multi-scale imaging approaches to understanding plant lateral root formation processes from cells to organs. Lateral roots comprise the majority of the branching root system and are important for acquiring nutrients and water from soil in addition to providing anchorage. Lateral roots develop post-embryonically from existing root parts and originate from a subset of specified pericycle cells (lateral root founder cells) located deep inside roots. Small numbers of these specified pericycle cells undergo several rounds of cell division to create a dome-shaped primordium, which eventually organizes a meristem, an essential region for plant growth with active cell division, and emerges from its parental root as a lateral root. Observing cellular and molecular processes for an extended time at various scales are crucial for understanding biological processes during organogenesis. Lateral root formation is an example of the successful application of live-cell imaging approaches to understand various aspects of developmental events in plants, including cell fate determination, cell proliferation, cell-to-cell interaction and cell wall modification. Here I review the recent progress in understanding the molecular mechanisms of lateral root formation and the contribution of live-cell imaging approaches.","PeriodicalId":18515,"journal":{"name":"Microscopy","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1093/jmicro/dfy135","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36706449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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